Reducing the Cost of CCSD Basis Set Extrapolation in Ab Initio Computational Thermochemistry

A series of approximations to CCSD contributions in computational model chemistries is presented in the context of kcal mol<sup>-1</sup>, kJ mol<sup>-1</sup>, and 20 cm<sup>-1</sup> theoretical predictions of total atomization energies, benchmarked within the HEAT+CH<sub>4</sub> test suite. A specific set of circumstances where MP2, without empirical scaling, may be used as an effective intermediate in the first two of these accuracy ranges was determined. However, SDQ-MP4, a method long used in pursuit of kcal mol<sup>-1</sup> accuracy but relatively unstudied in the subchemical accuracy community, offers significant improvement over the quality of MP2 as a basis-set intermediate at significantly reduced cost compared to CCSD. Given this, we argue for SDQ-MP4 as the <i>de facto</i> CCSD basis-set intermediate in sub-chemical accuracy calculations when CCSD in a desired basis set becomes unaffordable. We additionally report on a "CBS-like" scheme, where MP2 and SDQ-MP4 are used in conjunction to create a "cheap" three-part approximation of large CCSD basis set limits. The data for the CCSD approximation schemes are organized in such a way that model chemistry developers can locate an analog of their current approach for the CCSD basis set limit and explore alternative intermediates that either decrease computational cost or increase computational accuracy. We also show, for a handful of molecules, that SDQ-MP4 shows promise as an effective basis-set intermediate for harmonic and fundamental frequency computations, allowing for zero-point corrections of nearly CCSD(T)/ANO1 quality using simple composite methods that only require CCSD(T)/ANO0.

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Journal
Journal of Chemical Theory and Computation
Published
2026-01-26
DOI
https://doi.org/10.1021/acs.jctc.5c01720
Primary Topic
Advanced Chemical Physics Studies
Type
article
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article

Reducing the Cost of CCSD Basis Set Extrapolation in Ab Initio Computational Thermochemistry

Branko Ruščić, James H. Thorpe, David H. Bross, John F. Stanton et al.
Journal of Chemical Theory and Computation
Advanced Chemical Physics Studies
article

Reducing the Cost of CCSD Basis Set Extrapolation in Ab Initio Computational Thermochemistry

Branko Ruščić, James H. Thorpe, David H. Bross, John F. Stanton, Peter R. Franke
article en

Abstract

A series of approximations to CCSD contributions in computational model chemistries is presented in the context of kcal mol<sup>-1</sup>, kJ mol<sup>-1</sup>, and 20 cm<sup>-1</sup> theoretical predictions of total atomization energies, benchmarked within the HEAT+CH<sub>4</sub> test suite. A specific set of circumstances where MP2, without empirical scaling, may be used as an effective intermediate in the first two of these accuracy ranges was determined. However, SDQ-MP4, a method long used in pursuit of kcal mol<sup>-1</sup> accuracy but relatively unstudied in the subchemical accuracy community, offers significant improvement over the quality of MP2 as a basis-set intermediate at significantly reduced cost compared to CCSD. Given this, we argue for SDQ-MP4 as the <i>de facto</i> CCSD basis-set intermediate in sub-chemical accuracy calculations when CCSD in a desired basis set becomes unaffordable. We additionally report on a "CBS-like" scheme, where MP2 and SDQ-MP4 are used in conjunction to create a "cheap" three-part approximation of large CCSD basis set limits. The data for the CCSD approximation schemes are organized in such a way that model chemistry developers can locate an analog of their current approach for the CCSD basis set limit and explore alternative intermediates that either decrease computational cost or increase computational accuracy. We also show, for a handful of molecules, that SDQ-MP4 shows promise as an effective basis-set intermediate for harmonic and fundamental frequency computations, allowing for zero-point corrections of nearly CCSD(T)/ANO1 quality using simple composite methods that only require CCSD(T)/ANO0.

Journal of Chemical Theory and ComputationVol. 22(4)
Argonne National Laboratory (US), University of Florida (US), Quantum Design (Germany) (DE)
Openalex Percentile: Top 75%
Advanced Chemical Physics Studies
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